Liu, Zheng

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Chen, J., Xiao, S., Zhang, P., Luo, K., Lian, D., & Liu, Z. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 757

C-Pack: Packed Resources For General Chinese Embeddings

Xiao, S., Liu, Z., Zhang, P., Muennighoff, N., Lian, D., & Nie, J.-Y. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingMultimodal Machine Learning Applications

Cited by 523

C-Pack: Packed Resources For General Chinese Embeddings

Xiao, S., Liu, Z., Zhang, P., Muennighoff, N., Lian, D., & Nie, J.-Y. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 514

When large language models meet personalization: perspectives of challenges and opportunities

Chen, J., Liu, Z., Huang, X., Wu, C., Liu, Q., Jiang, G., Pu, Y., Lei, Y., Chen, X., Wang, X., et al. (2024) · World Wide Web

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 367

Large Language Models for Information Retrieval: A Survey

Zhu, Y., Yuan, H., Wang, S., Liu, J., Liu, W., Deng, C., Chen, H., Liu, Z., Dou, Z., & Wen, J.-R. (2026) · ACM Transactions on Information Systems

Information Retrieval and Search BehaviorTopic Modeling

Cited by 225

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Qian, H., Liu, Z., Zhang, P., Mao, K., Lian, D., Dou, Z., & Huang, T. (2025) · Proceedings of the ACM on Web Conference 2025

Topic ModelingInformation Retrieval and Search Behavior

Cited by 86

OmniGen: Unified Image Generation

Xiao, S., Wang, Y., Zhou, J., Yuan, H., Xing, X., Yan, R., Li, C., Wang, S., Huang, T., & Liu, Z. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 75

A Neural Corpus Indexer for Document Retrieval

Wang, Y., Hou, Y., Wang, H., Miao, Z., Wu, S., Chen, Q., Xia, Y., Chi, C., Zhao, G., Liu, Z., et al. (2022) · Advances in Neural Information Processing Systems 35

Information Retrieval and Search BehaviorNatural Language Processing Techniques

Cited by 69

MLVU: Benchmarking Multi-task Long Video Understanding

Zhou, J., Shu, Y., Zhao, B., Wu, B., Liang, Z., Xiao, S., Qin, M., Yang, X., Xiong, Y., Zhang, B., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 44

Are Long-LLMs A Necessity For Long-Context Tasks?

Qian, H., Liu, Z., Zhang, P., Mao, K., Zhou, Y., Chen, X., & Dou, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Niu, J., Liu, Z., Gu, Z., Wang, B., Ouyang, L., Zhao, Z., Chu, T., He, T., Wu, F., Zhang, Q., et al. (2025) · arXiv

Handwritten Text Recognition TechniquesAdvanced Neural Network Applications

Cited by 3

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Min, Y., Chen, Z., Jiang, J., Chen, J., Deng, J., Hu, Y., Tang, Y., Wang, J., Cheng, X., Song, H., et al. (2024) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 2

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis

Sun, S., Song, H., Wang, Y., Ren, R., Jiang, J., Zhang, J., Bai, F., Deng, J., Zhao, X., Liu, Z., et al. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Information Retrieval and Search BehaviorTopic Modeling

Cited by 2

OmniGen2: Towards Instruction-Aligned Multimodal Generation

Wu, C., Zheng, P., Yan, R., Xiao, S., Luo, X., Wang, Y., Li, W., Jiang, X., Liu, Y., Zhou, J., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

Enhancing LLM Reasoning with Reward-guided Tree Search

Jiang, J., Chen, Z., Min, Y., Chen, J., Cheng, X., Wang, J., Tang, Y., Sun, H., Deng, J., Zhao, W. X., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

MemoBrain: Executive Memory as an Agentic Brain for Reasoning

Qian, H., Cao, Z., & Liu, Z. (2026) · arXiv

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 0

General Agentic Memory Via Deep Research

Yan, B. Y., Li, C., Qian, H., Lu, S., & Liu, Z. (2025) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0